mlr3filters: Filter Based Feature Selection for 'mlr3'

Extends 'mlr3' with filter methods for feature selection. Besides standalone filter methods built-in methods of any machine-learning algorithm are supported. Partial scoring of multivariate filter methods is supported.

Version: 0.7.1
Depends: R (≥ 3.1.0)
Imports: backports, checkmate, data.table, mlr3 (≥ 0.12.0), mlr3misc, paradox, R6
Suggests: care, caret, carSurv, FSelectorRcpp, knitr, lgr, mlr3learners, mlr3measures, mlr3pipelines, praznik, rpart, testthat (≥ 3.0.0), withr
Published: 2023-02-15
Author: Patrick Schratz ORCID iD [aut], Michel Lang ORCID iD [cre, aut], Bernd Bischl ORCID iD [aut], Martin Binder [aut]
Maintainer: Michel Lang <michellang at gmail.com>
BugReports: https://github.com/mlr-org/mlr3filters/issues
License: LGPL-3
URL: https://mlr3filters.mlr-org.com, https://github.com/mlr-org/mlr3filters
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mlr3filters results

Documentation:

Reference manual: mlr3filters.pdf

Downloads:

Package source: mlr3filters_0.7.1.tar.gz
Windows binaries: r-devel: mlr3filters_0.7.1.zip, r-release: mlr3filters_0.7.1.zip, r-oldrel: mlr3filters_0.7.1.zip
macOS binaries: r-release (arm64): mlr3filters_0.7.1.tgz, r-oldrel (arm64): mlr3filters_0.7.1.tgz, r-release (x86_64): mlr3filters_0.7.1.tgz
Old sources: mlr3filters archive

Reverse dependencies:

Reverse imports: mlr3verse, sense
Reverse suggests: mlr3pipelines, mlr3spatiotempcv, mlr3viz

Linking:

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